Ohki Katakura's journal club session on his master's work "Computational Model of the Cerebellum and the Basal Ganglia for Interval Timing Learning (Ohki Katakura; Tadashi Yamazaki, 2016)"
Category: Seminars
Biocomputation Robots and ArchaeaBot Project
Alex May and Anna Dumitriu's journal club session on their latest collaborative robotics artwork projects “ArchaeaBot” and “BioCompuation Bots”.
Maximum Satisfiability: Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem
Mohammad Tayarani-Najaran's journal club session on his article "Maximum Satisfiability Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem (Adam Prugel-Bennett; Mohammad Tayarani-Najaran, 2011)".
Tagged as : Machine LearningAsynchronism-based principal component analysis for time series data mining
Yi Sun's journal club session, where she will present the paper "Asynchronism-based principal component analysis for time series data mining (Hailin Li, 2014)".
Tagged as : PCAThree Review Articles on the Cerebellum
Reinoud Maex's journal club session on three review papers related to his past cerebellum work.
Complexity of Biological Systems: Deterministic vs Stochastic Modelling
Rene te Boekhorst's journal club session where he discusses the complexity of biological systems and presents the paper "A model of ion channel kinetics using deterministic chaotic rather than stochastic processes (Liebovitch and Toth, 1991)".
Tagged as : neuroscienceSignal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons
Sam Sutton's journal club session where he discusses the paper "Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons (Vogels and Abbott, 2005)".
Reverse Nearest Neighbor Queries: emergence and implementation issues
Deepak Panday's journal club session on "Reverse Nearest Neighbor Queries: emergence and implementation issues".
Tagged as : machine learningDecoding gas source proximity from turbulent plumes
Michael Schmuker's journal club session on "Decoding gas source proximity from turbulent plumes".
A comparison of deterministic and stochastic ion channel representations in a model of a cerebellar nucleus neuron
Maria Psarrou's journal club session on 'A comparison of deterministic and stochastic ion channel representations in a model of a cerebellar nucleus neuron'.
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Computer Science COVID-19 computational neuroscience neural networks Neuronal Morphology cerebellum optimization Dendritic computation Purkinje cell machine learning Neurons PCA artificial intelligence Convolutional Neural Networks olfaction Studentship Associative memory Neuromorphic hardware Persistent homology Evolutionary algorithms Open position Network connectivity neuroscience Homoeostasis Software development Structural plasticity synaptic plasticity Deep learning robotics computational modelling